Publicado por New York , Springer [2001]., 2001
ISBN 10: 0387952594 ISBN 13: 9780387952598
Idioma: Inglés
Librería: Antiquariat Bookfarm, Löbnitz, Alemania
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 JEN 9780387952598 Sprache: Englisch Gewicht in Gramm: 550.
Publicado por New York , Springer [2001]., 2001
ISBN 10: 0387952594 ISBN 13: 9780387952598
Idioma: Inglés
Librería: Antiquariat Bookfarm, Löbnitz, Alemania
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 JEN 9780387952598 Sprache: Englisch Gewicht in Gramm: 550.
Librería: Florida Mountain Book Co., Datil, NM, Estados Unidos de America
Original o primera edición
EUR 27,23
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Añadir al carritoCondición: Very Good. Hardcover, [xv], 268 pages. Very Good condition. First printing. Size 9.5"x6.25". "The book emphasizes both the human and the computer side. Part I gives a thorough introduction to Bayesian networks as well as decision trees and infulence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues. This part is also self-contained, but it requires that the reader is familiar with working with texts in the mathematical language." Book has light handling/shelfwear, spine is sunned, else Fine condition, clean and unmarked.
Librería: Florida Mountain Book Co., Datil, NM, Estados Unidos de America
EUR 29,02
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Añadir al carritoCondición: Near Fine. Hardcover, [xv], 268 pages. Near Fine condition. Second, corrected printing, 2002. Size 9.5"x6.25". "The book emphasizes both the human and the computer side. Part I gives a thorough introduction to Bayesian networks as well as decision trees and infulence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues. This part is also self-contained, but it requires that the reader is familiar with working with texts in the mathematical language." Book has light exterior shelfwear, else Fine condition, clean and unmarked.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 58,19
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Librería: Maxwell's House of Books, La Mesa, CA, Estados Unidos de America
EUR 22,32
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Añadir al carritoHardcover. Condición: Very Good. Estado de la sobrecubierta: No DJ as Issued. A lovely, crisp, clean hardcover in very good condition; light sunning to spine, light shelf wear. No dust jacket, as issued. We are a brick-and-mortar store and sell our own inventory.
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
EUR 41,91
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Añadir al carritoCondición: Very Good. Corrected Printing, 268 pp., Hardcover, minor internal library markings else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Librería: Feldman's Books, Menlo Park, CA, Estados Unidos de America
EUR 40,17
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Añadir al carritoHardcover. Condición: Near Fine. First Edition. No markings.
EUR 76,97
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Añadir al carritoCondición: New. pp. xv + 268 Illus.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,20
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Añadir al carritoCondición: Used. pp. xv + 268 1st Edition.
EUR 80,90
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Añadir al carritoCondición: New. pp. xv + 268.
Librería: The Book Escape, Baltimore, MD, Estados Unidos de America
EUR 64,28
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Añadir al carritoHardcover. Condición: Good. 2nd Edition. Light pencil underlining in a few sections of text. Could be erased if one desired. ***Shipped within 24 hours from the beautiful Baltimore inner harbor area. First class service; accurate descriptions. Most items packed in boxes, not envelopes.***. Book.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 86,35
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Añadir al carritoPaperback. Condición: New.
EUR 89,36
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Añadir al carritoCondición: New.
Publicado por Springer New York, Springer New York, 2010
ISBN 10: 1441923942 ISBN 13: 9781441923943
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 95,65
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis.The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models. The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors also provide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes.give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge.give several examples and exercises exploiting computer systems for dealing with Bayesian networks and decision graphs.present a thorough introduction to state-of-the-art solution and analysis algorithms.The book is intended as a textbook, but it can also be used for self-study and as a reference book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 96,32
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Añadir al carritoCondición: New.
Publicado por Springer New York, Springer New York Nov 2010, 2010
ISBN 10: 1441923942 ISBN 13: 9781441923943
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 90,94
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis.The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models.The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors alsoprovide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes.give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 130,66
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Añadir al carritoCondición: New. In.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 105,23
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 124,03
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Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 134,24
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Añadir al carritoCondición: New. pp. 464.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 138,38
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Añadir al carritoCondición: New.
EUR 130,65
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Añadir al carritoCondición: New.
EUR 141,90
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Añadir al carritoPaperback. Condición: Brand New. 2nd ed. edition. 448 pages. 9.00x6.00x1.09 inches. In Stock.
EUR 139,74
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Añadir al carritoGebunden. Condición: New. Gives a well-founded practical introduction to Bayesian networksIncludes presentation of the most efficient algorithm for solving influence diagramsThis is a brand new edition of an essential work on Bayesian networks and decision graph.
EUR 156,03
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 146,36
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
EUR 136,94
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 122,84
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 178,62
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Añadir al carritoCondición: As New. Unread book in perfect condition.